Call for Papers ESWC 2019 Linked Data Track

Description

Linked Data (LD) refers to a set of best practices for exposing, sharing, and connecting data on the Web, while also referring to the ecosystem of data being released in this form. This paradigm has been successfully used in an increasing number of applications in a wide range of domains (media, live science, e-Government, digital humanities, linguistics, etc.). However, a number of research challenges still need to be addressed to further increase take-up and adoption of LD techniques. This track invites research submissions addressing the generation/extraction of LD from other types of data sources, the generation, maintenance and curation of links within and across datasets, scalable query and storage mechanisms, quality assessment and management, curation and validation, effective publishing methodologies, efficient consumption, access-restricted querying, as well as inferencing over LD. This track calls for research submissions advancing the state-of-the-art in the LD field, in particular related to the following, non-exhaustive list of topics of interest:

Extended Semantic Web Conference ESWC

The ESWC is a major venue for discussing the latest scientific results and technology innovations around semantic technologies. Building on its past success, ESWC is seeking to broaden its focus to span other relevant related research areas in which Web semantics plays an important role.